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//Legal & Immigration · AI Automation

Case intake from 4 days to 11 minutes with a multi-agent workflow

A multi-agent system that reads, classifies, and structures client intake documents — turning a four-day manual process into eleven minutes, with a human review gate on every case.

01The challenge

Paralegals spent days per case manually reading documents, extracting details, and keying them into the case system. Volume capped growth, and errors carried compliance risk.

02What we did
  • 01Blueprinted the intake loop: document ingestion, classification, extraction, and human review.
  • 02Prototyped extraction accuracy against a sample of real, messy client files.
  • 03Forged a multi-agent pipeline with typed extraction and confidence scoring.
  • 04Added a human-in-the-loop approval gate and full audit logging before launch.
//Results

The numbers

4 days → 11 min
intake processing time
case throughput per paralegal
100%
cases human-reviewed with audit trail

We didn't replace our paralegals — we gave them their week back.

Managing Partner, US immigration firm
//Tech stack
  • Claude
  • LangGraph
  • Pydantic
  • Postgres
  • Next.js
//Next step

Start with a Blueprint.
Lock the scope. Ship the system.

Contact the studio